Towards AMR-BR: A SemBank for Brazilian Portuguese Language

被引：0
|
作者：
Anchieta, Rafael Torres [1 ]
Salgueiro Pardo, Thiago Alexandre [1 ]
机构：
[1] Univ Sao Paulo, Inst Math & Comp Sci, Interinst Ctr Computat Linguist NILC, Sao Paulo, SP, Brazil
来源：
PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) | 2018年
基金：
巴西圣保罗研究基金会;
关键词：
Abstract Meaning Representation (AMR); corpus annotation; Portuguese language;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We present in this paper an effort to build an AMR (Abstract Meaning Representation) annotated corpus (a semantic bank) for Brazilian Portuguese. AMR is a recent and prominent meaning representation with good acceptance and several applications in the Natural Language Processing area. Following what has been done for other languages, and using an alignment-based approach for annotation, we annotated the Little Prince book, which went into the public domain and explored some language-specific annotation issues.
引用
收藏
页码：974 / 979
页数：6
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